Research On Production Scheduling Of Carbon Brush Workshop In S Company Based On Critical Chain Technology And Push-pull Control

With the globalization of the automobile manufacturing industry,the production of auto parts is gradually being configured on a global scale.The competition in the auto parts market has become more and more fierce,the speed of product replacement is accelerating,and the characteristics of customer orders have gradually changed to the demand for multi-variety,small batch size and customization.In the face of the huge pressure of the volatile market,relying on the existing empiricism and the current traditional production scheduling methods,the brush workshop of S Company can no longer adapt to the needs of customer orders.After in-depth investigation and analysis of the current production scheduling and program implementation status of the brush workshop,it is mainly manifested as the unscientific production scheduling formulation method,the implementation and control of the production scheduling plan are not in place,resulting in the extended production cycle of brush products,the increase in inventory,and the inability of customer orders to be delivered on time.In view of the current outstanding problems of production scheduling in the brush workshop,it is of great significance to build a scientific and reasonable production scheduling scheme suitable for the brush workshop to ensure the continuous and stable operation of the brush workshop.Aiming at the existing main problems of the production scheduling scheme of the brush workshop,based on studying and learning the relevant theories and methods such as production scheduling management and resource demand conflict,the existing production scheduling execution and control are optimized based on key chain technology and push-pull combined control strategy.The Petri net can be used to clearly express the system characteristics such as concurrency,conflict,synchronization,resource sharing and other system characteristics in the process and the mechanism with execution and control,which can be used for the expression of the production task flow of multi-brush products.Relying on the multi-brush task Petri network diagram,the application of critical chain technology can accurately find out the key advantages in the multi-task process,which is used to identify the bottleneck and key chain of the production process in the multi-brush task network diagram,and set different buffer types and buffer sizes for the corresponding process activities after identification,so as to provide pointers for the resolution of resource demand conflicts in the production scheduling process of the brush workshop.Combined with the expression of the multi-task process Petri network,the resource demand conflict of the brush workshop production scheduling is elaborated,and to resolve the resource demand conflict in the production scheduling process,a mathematical model with the shortest production cycle and the least customer delay in delivery is constructed.The genetic algorithm is applied to solve the multivariate objective function more effectively and more robust in the search process,which is used to solve the resource demand conflict of the brush production process under different circumstances,and the global digestion and local digestion are respectively used to obtain the optimized brush workshop production scheduling scheme.In the optimized production scheduling scheme,the use of push-pull combination has the advantages of better monitoring buffer consumption,reducing the inventory of the temporary storage area between processes,and fine-tuning the production scheduling process,which is used to ensure the implementation and control of the optimized production scheduling scheme of the brush workshop.By setting up a push-pull combination demarcation point in the brush production process,push production is used before the demarcation point,and the Kanban card tool in pull production is used to control the flow between processes after the demarcation point to control the buffer consumption between pull processes.Finally,the indicators of the brush workshop before and after optimization are compared to illustrate the effectiveness of the implementation and control of the optimized production scheduling scheme.The implementation and control of the optimized production scheduling scheme of the brush workshop solves the main problems of unscientific formulation of the production scheduling method and unreasonable implementation of the production scheduling scheme of the brush workshop,which not only improves the actual production management level of the brush workshop,but also has certain reference significance and promotion value for similar manufacturing companies with multi-task and small batch production mode.